Formalizing Theatrical Performances Using Multi-Agent Organizations - PowerPoint PPT Presentation

Formalizing Theatrical Performances Using Multi-Agent Organizations Andreas Schmidt Jensen , Johannes Svante Spurkeland and Jørgen Villadsen Department of Applied Mathematics and Computer Science Technical University of Denmark November 21, 2013 12th Scandinavian AI conference Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 1 / 16

Outline Introduction 1 Theater 770 ◦ Celsius 2 Organization-Oriented Multi-Agent Systems 3 Toward a Formalization 4 Conclusion 5 Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 2 / 16

Introduction Introduction Theatrical performances Strict storyline? Improvisation? = ⇒ The IRL method Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 3 / 16

Introduction Introduction Theatrical performances Strict storyline? Improvisation? = ⇒ The IRL method Multi-Agent Systems Intelligent agents with goals Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 3 / 16

Introduction Introduction Theatrical performances Strict storyline? Improvisation? = ⇒ The IRL method Multi-Agent Systems Intelligent agents with goals Can we use MAS for theatrical performances? Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 3 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Self-organizing critical system Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Self-organizing critical system Characters with a basic conflict Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Self-organizing critical system Characters with a basic conflict Each act contains a number of fixed events Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Self-organizing critical system Characters with a basic conflict Each act contains a number of fixed events The actors improvise according to their characters Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius The IRL method “In Real Life” – Theater 770 ◦ Celsius A Danish theater group aiming to renew the way theater is made Differs from classical theater, which uses a strict storyline Self-organizing critical system Characters with a basic conflict Each act contains a number of fixed events The actors improvise according to their characters Must eventually reach each of the fixed events Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 4 / 16

Theater 770 ◦ Celsius Win-Win: Vi elsker penge Win-Win: Vi elsker penge (Win-Win: We love money) Four acts about money in an airport A lost briefcase filled with money Each character has a conflict revolving around money The briefcase would resolve their conflict Characters become aware of the contents Changes behavior Pursuits the briefcase Characters have flashbacks, which provide background for the characters A lot of interaction with the audience Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 5 / 16

Theater 770 ◦ Celsius Win-Win: Vi elsker penge An example: Act 1 & 2 Act 1. The characters and a few members of the audience are standing in a line. They grow impatient and the line scatters. The actors walk around the airport behaving in accordance with their character. At some point, each character has a flashback, which gives the audience an understanding of the character’s personality. The act ends when all characters are present in the same location at the same time, a so-called “all-in” situation. One of the characters will have found out that he has a suitcase full of money, but it is mistakenly taken by another character. Act 2. Two more characters will realize that the suitcase is full of money. The character initially carrying the suitcase will hold on to it until the end of the act, though it may change hands for shorter periods. Each character has a flashback. The act ends when the initial character finds out about the money and the last character, ignorant of the money, takes the suitcase. Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 6 / 16

Organization-Oriented Multi-Agent Systems Organizations in Multi-Agent Systems Organizations in Multi-Agent Systems Intelligent agents Proactive Reactive Autonomous Social Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 7 / 16

Organization-Oriented Multi-Agent Systems Organizations in Multi-Agent Systems Organizations in Multi-Agent Systems Intelligent agents Proactive Reactive Autonomous Social Why organizations? Agent objectives should match system objectives More efficient coordination and cooperation Norms or obligations to limit the agents’ autonomy Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 7 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The OperA Model Distinguishes agent goals from organizational aims Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 8 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The OperA Model Distinguishes agent goals from organizational aims Defines agents and organization independently Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 8 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The OperA Model Distinguishes agent goals from organizational aims Defines agents and organization independently Three models Organizational model Social model Interaction model Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 8 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The OperA Model Distinguishes agent goals from organizational aims Defines agents and organization independently Three models Organizational model Social model Interaction model Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 8 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The Organizational Model Social Structure Roles, objectives, role dependency. Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 9 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The Organizational Model Social Structure Roles, objectives, role dependency. Interaction Structure Scene scripts, interaction pattern, scene transitions, role evolutions Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 9 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The Organizational Model Social Structure Roles, objectives, role dependency. Interaction Structure Scene scripts, interaction pattern, scene transitions, role evolutions Normative Structure Role norms, scene norms, transition norms Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 9 / 16

Organization-Oriented Multi-Agent Systems The OperA Model The Organizational Model Social Structure Roles, objectives, role dependency. Interaction Structure Scene scripts, interaction pattern, scene transitions, role evolutions Normative Structure Role norms, scene norms, transition norms Communicative Structure Communication language, ontology Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 9 / 16

Toward a Formalization Toward a Formalization Can Win-Win be formalized using Multi-Agent Systems? Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 10 / 16

Toward a Formalization Toward a Formalization Can Win-Win be formalized using Multi-Agent Systems? Actor → Agent Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 10 / 16

Toward a Formalization Toward a Formalization Can Win-Win be formalized using Multi-Agent Systems? Actor → Agent Character → Role Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 10 / 16

Toward a Formalization Toward a Formalization Can Win-Win be formalized using Multi-Agent Systems? Actor → Agent Character → Role Act → Scene script Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 10 / 16

Toward a Formalization Toward a Formalization Can Win-Win be formalized using Multi-Agent Systems? Actor → Agent Character → Role Act → Scene script Fixed events → Interaction pattern Andreas Schmidt Jensen et al. SCAI2013 November 21, 2013 10 / 16